Influência da época de plantio e corte na produtividade da cana-de-açúcar.
Notice bibliographique
Résumé
Harvest planning in sugarcane attempts to optimize the crop's economic return based on the concept that sugarcane presents, along the cropping season, a period during which the maximum concentration of sucrose occurs in the stalks.This work consisted of studies that focused on the influences of edaphic-climatic factors on yield and total recoverable sugars.The hypothesis was tested that an interaction exists between the planting and harvesting seasons, as well as the hypothesis that an interaction exists between the whole-stalk and the bud seedling treatments with each planting season.Data from a research conducted at COPERSUCAR's Experimental Field -Piracicaba/SP, in a Red Eutrophic Latosol, were used.A random blocks design with strip split-plots was used, where sub-subplots were allocated within strips.Treatments were planting seasons (November, January, March, May), with harvesting seasons represented by strips (May, July, September, November), while sub-subtreatments consisted of bud and whole-stalk seedlings.The variables measured were: tons of sugarcane stalks (TSS) and tons of sugar per hectare (TSH), and total recoverable sugar (TRS).The ratoon (second cut) was evaluated in the same manner as the 1 st cut, when sugarcane was 12 months old.Three experiments were installed, each consisting of one variety: SP 70-1143, NA 56-79, and SP 71-1406.The experiments were installed and xii replicated in three cropping years: 1983/84, 1984/85, and 1985/86, with harvests in the cropping seasons from 1985 through 1988; therefore, yields for the same stage in different years, and yields for different stages in the same year were obtained.It was concluded that planting seasons affected TSS, TRS, and TSH in the 1 st cut; planting seasons interacted with seedling types in one-year-old sugarcane; harvesting seasons affected TSS, TRS, and TSH in one-year-old and ratoon sugarcane; TRS always progressed from the beginning to the end of the cropping season, with peaks in the months of September and November; late plantings delayed maturation; TSH values followed the TRS curves, and were influenced by TSS.In the first cut of variety SP 70-1143, climate influenced the planting season and seedling type results; the smallest TSS values were obtained in the May planting seasons with bud seedlings, while no differences were observed in the other planting seasons, indicating that whole-stalk seedlings can be planted in any season; in both cuts under study, the highest TRS values were obtained for the September harvesting, and the smallest values were obtained for the May planting season, indicating that peak maturity occurs in the month of September.In variety NA 56-79, the TSS values for bud and whole-stalk seedlings did not show differences, indicating that whole-stalk cane can be planted; the highest TRS and TSH values were obtained from harvests made in July.In the first cut of variety SP 71-1406, the best management consisted of bud seedlings, which were superior; the smallest TSS values were obtained for the May planting and the highest TRS value was obtained for the November harvesting; in both cuts, the TSH and TRS values indicated that harvesting should be done beginning in September.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».